How to Test Questions About Similarity in Personality and Social Psychology Research

2017 ◽  
Vol 8 (4) ◽  
pp. 465-475 ◽  
Author(s):  
Maxwell Barranti ◽  
Erika N. Carlson ◽  
Stéphane Côté
Keyword(s):  
Social Psychology ◽  
Response Surface ◽  
Surface Analysis ◽  
Response Surface Analysis ◽  
Psychology Research ◽  
Personality Psychology ◽  
Difference Scores ◽  
Bias Model ◽  
Current Article ◽  
Traditional Approaches

Social and personality psychologists are often interested in the extent to which similarity, agreement, or matching matters. The current article describes response surface analysis (RSA), an approach designed to answer questions about how (mis)matching predictors relate to outcomes while avoiding many of the statistical limitations of alternative, often-used approaches. We explain how RSA provides compressive and often more valid answers to questions about (mis)matching predictors than traditional approaches provide, outline steps on how to use RSA (including modifiable syntax), and demonstrate how to interpret RSA output with an example. To bolster our argument that RSA overcomes many limitations of traditional approaches (i.e., incomplete or misleading inferences), we compare results from four popular approaches (i.e., difference scores, residuals, moderated regression, and the truth and bias model) to those obtained from RSA. We discuss specific applications of RSA to social and personality psychology research.

scholarly journals Preprint of "Response Surface Analysis in Personality and Social Psychology: Checklist and Clarifications for the Case of Congruence Hypotheses"

2018 ◽  
Author(s):  
Sarah Humberg ◽  
Steffen Nestler ◽  
Mitja Back
Keyword(s):  
Social Psychology ◽  
Response Surface ◽  
Surface Analysis ◽  
Empirical Studies ◽  
Response Surface Analysis ◽  
Psychological Effects ◽  
Outcome Variable ◽  
Congruence Effect ◽  
Social Psychological ◽  
Psychological Constructs

Response Surface Analysis (RSA) enables researchers to test complex psychological effects, for example, whether the congruence of two psychological constructs is associated with higher values in an outcome variable. RSA is increasingly applied in the personality and social psychological literature, but the validity of published results has been challenged by some persistent oversimplifications and misconceptions. Here, we describe the mathematical fundamentals required to interpret RSA results, and we provide a checklist for correctly identifying congruence effects. We clarify two prominent fallacies by showing that the test of a single RSA parameter cannot indicate a congruence effect, and when there is a congruence effect, RSA cannot indicate whether a predictor mismatch in one direction (e.g., overestimation of one’s intelligence) is better or worse than a mismatch in the other direction (underestimation). We hope that this contribution will further enhance the validity and strength of empirical studies that apply this powerful approach.Humberg, S., Nestler, S., & Back, M. D. (2019). Response Surface Analysis in Personality and Social Psychology: Checklist and Clarifications for the Case of Congruence Hypotheses. Social Psychological and Personality Science, 10(3), 409–419. doi:10.1177/1948550618757600The journal version of this article can be found at: http://journals.sagepub.com/doi/full/10.1177/1948550618757600

Polynomial Regression with Response Surface Analysis: A Powerful Approach for Examining Moderation and Overcoming Limitations of Difference Scores

2010 ◽  
Vol 25 (4) ◽  
pp. 543-554 ◽  
Author(s):  
Linda Rhoades Shanock ◽  
Benjamin E. Baran ◽  
William A. Gentry ◽  
Stacy Clever Pattison ◽  
Eric D. Heggestad
Keyword(s):  
Response Surface ◽  
Surface Analysis ◽  
Polynomial Regression ◽  
Response Surface Analysis ◽  
Difference Scores ◽  
Powerful Approach

scholarly journals Testing Similarity Effects with Dyadic Response Surface Analysis

2018 ◽  
Vol 32 (6) ◽  
pp. 627-641 ◽  
Author(s):  
Felix D. Schönbrodt ◽  
Sarah Humberg ◽  
Steffen Nestler
Keyword(s):  
Response Surface ◽  
Surface Analysis ◽  
Polynomial Regression ◽  
Response Surface Analysis ◽  
Outcome Variable ◽  
Personality Dimension ◽  
Personality Psychology ◽  
Profile Similarity ◽  
Similarity Effect ◽  
The Relationship

Dyadic similarity effect hypotheses state that the (dis)similarity between dyad members (e.g. the similarity on a personality dimension) is related to a dyadic outcome variable (e.g. the relationship satisfaction of both partners). Typically, these hypotheses have been investigated by using difference scores or other profile similarity indices as predictors of the outcome variables. These approaches, however, have been vigorously criticized for their conceptual and statistical shortcomings. Here, we introduce a statistical method that is based on polynomial regression and addresses most of these shortcomings: dyadic response surface analysis. This model is tailored for similarity effect hypotheses and fully accounts for the dyadic nature of relationship data. Furthermore, we provide a tutorial with an illustrative example and reproducible R and Mplus scripts that should assist substantive researchers in precisely formulating, testing, and interpreting their dyadic similarity effect hypotheses. © 2018 European Association of Personality Psychology

scholarly journals Response surface analysis of nozzle parameters at supersonic flow through microjets

2021 ◽  
pp. 1-16
Author(s):  
Turki Al-Khalifah ◽  
Abdul Aabid ◽  
Sher Afghan Khan ◽  
Muhammad Hanafi Bin Azami ◽  
Muneer Baig
Keyword(s):  
Supersonic Flow ◽  
Response Surface ◽  
Surface Analysis ◽  
Response Surface Analysis ◽  
Flow Through

scholarly journals In vitro synergy of isavuconazole in combination with colistin against Candida auris

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Patrick Schwarz ◽  
Anne-Laure Bidaud ◽  
Eric Dannaoui
Keyword(s):  
Response Surface ◽  
Surface Analysis ◽  
Concentration Index ◽  
Inhibitory Concentration ◽  
Response Surface Analysis ◽  
Fractional Inhibitory Concentration ◽  
Candida Auris ◽  
Fractional Inhibitory Concentration Index ◽  
Agar Diffusion

AbstractThe in vitro interactions of isavuconazole with colistin were evaluated against 15 clinical Candida auris isolates by a microdilution checkerboard technique based on the EUCAST reference method for antifungal susceptibility testing and by agar diffusion using isavuconazole gradient concentration strips with or without colistin incorporated RPMI agar. Interpretation of the checkerboard results was done by the fractional inhibitory concentration index and by response surface analysis based on the Bliss model. By checkerboard, combination was synergistic for 93% of the isolates when interpretation of the data was done by fractional inhibitory concentration index, and for 80% of the isolates by response surface analysis interpretation. By agar diffusion test, although all MICs in combination decreased compared to isavuconazole alone, only 13% of the isolates met the definition of synergy. Essential agreement of EUCAST and gradient concentration strip MICs at +/− 2 log2 dilutions was 93.3%. Antagonistic interactions were never observed for any technique or interpretation model used.

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